Meredith Campbell Britton1, Judy Petersen-Pickett2, Beth Hodshon3, Sarwat I Chaudhry4. 1. Yale Equity Research and Innovation Center, New Haven, Connecticut, United States. 2. Yale New Haven Health System, New Haven, Connecticut, United States. 3. Yale School of Medicine, New Haven, Connecticut, United States. 4. Section of General Internal Medicine, Department of Medicine, Yale School of Medicine, New Haven, Connecticut, United States.
Abstract
PURPOSE: Care transitions between hospitals and skilled nursing facilities (SNFs) are often associated with breakdowns in communication that may place patients at risk for adverse events. Less is known about how to address these issues in the context of busy patient care settings. We used process mapping to examine hospital discharge and SNF admission processes to identify opportunities for improvement. METHODS: A quality improvement (QI) team worked with frontline staff to create a process map illustrating the sequence of events involved with hospital discharge and SNF admission. The project was completed at an academic medical centre and two local SNFs in the north-eastern United States. Participants represented the care management, medicine, nursing, admissions, and physical therapy services. The data informed hospital QI interventions seeking to improve the quality and safety of hospital-SNF transfers and reduce unplanned hospital readmissions. RESULTS: The final process map highlighted numerous activities that need to be coordinated between care teams, including the time-sensitive exchange of clinical and administrative information. Participants shared insights about how care teams reach critical decisions about patient disposition and post-acute care utilization. CONCLUSIONS: Process mapping highlighted specific opportunities for improving communication between care teams. Participants advocated for earlier assessments of patients' functional status and support systems, including reliable at-home services. They also reasoned that improved communication would help patients and providers reach decisions together, coordinate work efforts, and better prepare for hospital discharge and SNF admission. This information can be used to improve patient care transitions between hospitals and SNFs.
PURPOSE: Care transitions between hospitals and skilled nursing facilities (SNFs) are often associated with breakdowns in communication that may place patients at risk for adverse events. Less is known about how to address these issues in the context of busy patient care settings. We used process mapping to examine hospital discharge and SNF admission processes to identify opportunities for improvement. METHODS: A quality improvement (QI) team worked with frontline staff to create a process map illustrating the sequence of events involved with hospital discharge and SNF admission. The project was completed at an academic medical centre and two local SNFs in the north-eastern United States. Participants represented the care management, medicine, nursing, admissions, and physical therapy services. The data informed hospital QI interventions seeking to improve the quality and safety of hospital-SNF transfers and reduce unplanned hospital readmissions. RESULTS: The final process map highlighted numerous activities that need to be coordinated between care teams, including the time-sensitive exchange of clinical and administrative information. Participants shared insights about how care teams reach critical decisions about patient disposition and post-acute care utilization. CONCLUSIONS: Process mapping highlighted specific opportunities for improving communication between care teams. Participants advocated for earlier assessments of patients' functional status and support systems, including reliable at-home services. They also reasoned that improved communication would help patients and providers reach decisions together, coordinate work efforts, and better prepare for hospital discharge and SNF admission. This information can be used to improve patient care transitions between hospitals and SNFs.
Authors: Larry A Allen; Adrian F Hernandez; Eric D Peterson; Lesley H Curtis; David Dai; Frederick A Masoudi; Deepak L Bhatt; Paul A Heidenreich; Gregg C Fonarow Journal: Circ Heart Fail Date: 2011-03-29 Impact factor: 8.790
Authors: Majken T Wingo; Andrew J Halvorsen; Thomas J Beckman; Matthew G Johnson; Darcy A Reed Journal: J Hosp Med Date: 2016-01-06 Impact factor: 2.960
Authors: Barbara J King; Andrea L Gilmore-Bykovskyi; Rachel A Roiland; Brock E Polnaszek; Barbara J Bowers; Amy J H Kind Journal: J Am Geriatr Soc Date: 2013-06-03 Impact factor: 5.562
Authors: Julie K Johnson; Jeanne M Farnan; Paul Barach; Gijs Hesselink; Hub Wollersheim; Loes Pijnenborg; Cor Kalkman; Vineet M Arora Journal: BMJ Qual Saf Date: 2012-11-01 Impact factor: 7.035
Authors: Erik H Hoyer; Michael Friedman; Annette Lavezza; Kathleen Wagner-Kosmakos; Robin Lewis-Cherry; Judy L Skolnik; Sherrie P Byers; Levan Atanelov; Elizabeth Colantuoni; Daniel J Brotman; Dale M Needham Journal: J Hosp Med Date: 2016-02-05 Impact factor: 2.960
Authors: Nicole L Casanova; Amy M LeClair; Victoria Xiao; Katelyn R Mullikin; Stephenie C Lemon; Karen M Freund; Jennifer S Haas; Rachel A Freedman; Tracy A Battaglia Journal: Cancer Date: 2022-07-01 Impact factor: 6.921
Authors: Paul Y Takahashi; Anupam Chandra; Rozalina G McCoy; Lynn S Borkenhagen; Mary E Larson; Bjorg Thorsteinsdottir; Joel A Hickman; Kristi M Swanson; Gregory J Hanson; James M Naessens Journal: J Am Med Dir Assoc Date: 2021-05-11 Impact factor: 4.669